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International Journal of Digital Earth Volume 17, 2024 - Issue 1
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Research Article

A high-quality global elevation control point dataset from ICESat-2 altimeter data

Binbin Lia College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of China;b JC STEM Lab of Earth Observations, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of China;c Research Centre for Artificial Intelligence in Geomatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of China;d Research Institute for Land and Space, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of ChinaView further author information
,
Huan Xiea College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of China;e Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3272-7848View further author information
ORCID Icon,
Shijie Liua College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
,
Yuanting Xia College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
,
Changda Liua College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of China;e Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, People’s Republic of ChinaView further author information
,
Yusheng Xua College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
,
Zhen Yea College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
,
Zhonghua Hongf College of Information Technology, Shanghai Ocean University, Shanghai, People’s Republic of ChinaView further author information
,
Qihao Wengb JC STEM Lab of Earth Observations, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of China;c Research Centre for Artificial Intelligence in Geomatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of China;d Research Institute for Land and Space, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of ChinaView further author information
,
Yuan Suna College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
,
Qi Xua College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
&
Xiaohua Tonga College of Surveying and Geo-informatics, and Shanghai Key Laboratory for Planetary Mapping and Remote Sensing for Deep Space Exploration, Tongji University, Shanghai, People’s Republic of ChinaView further author information
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Article: 2361724 | Received 05 Mar 2024, Accepted 26 May 2024, Published online: 13 Jun 2024

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